Lead Scientist · Apodex
Lingfeng Shen 沈凌峰
Reinforcement learning, agents, and AI for scientific discovery.
Mountain View, CA
About
I am a Lead Scientist at Apodex, responsible for our research in reinforcement learning and AI for science.
Previously, I was a Member of Technical Staff on Microsoft AI’s MAI Superintelligence Team, working on agentic foundation models, and a Research Scientist at ByteDance Seed, where I focused on reasoning, planning, and function calling in large language models.
I hold an M.S. in Computer Science from Johns Hopkins University, where I worked with Daniel Khashabi and Philipp Koehn, and a B.S. in Applied Mathematics from China Agricultural University. I spent my final undergraduate year as a research intern at Tencent AI Lab, mentored by Haiyun Jiang, Lemao Liu, and Shuming Shi.
Beyond research, I am a professional trader focused on event-driven strategies and risk hedging, and I occasionally write about markets on my blog.
I am always glad to talk about research and collaboration. You can reach me at lingfeng [at] apodex.com or lshen30 [at] jh.edu.
Research
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01
AI for finance
Machine learning for financial markets, from forecasting and trading to risk management.
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02
AI for scientific discovery
Applying AI to open scientific questions whose answers are not yet known.
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03
Agentic RL
Training language-model agents to reason, plan, and use tools through reinforcement learning.
Earlier research topics
- Emergent behaviors of foundation models, such as in-context learning (ICML 2024)
- Data-centric design of foundation models (ICLR 2024)
- Adversarial robustness (ICLR 2023, AAAI 2022)
- Backdoor robustness and its evaluation (arXiv 2022)
- Evaluation metrics for text generation (EMNLP 2022)
Experience
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Jul 2026 – Present
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Jan 2026 – Jul 2026Member of Technical Staff
Focus on agentic foundation models.
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May 2024 – Dec 2025Research Scientist
Focus on reasoning, planning, and function calling in large language models.
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Sep 2021 – Jun 2022Research InternTencent AI Lab
Mentored by Haiyun Jiang, Lemao Liu, and Shuming Shi.
Education
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Aug 2022 – Dec 2023
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Sep 2018 – Jun 2022B.S. in Applied MathematicsChina Agricultural University
Publications
Machine learning
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Position: Do pretrained Transformers Learn In-Context by Gradient Descent?
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The Trickle-down Impact of Reward Inconsistency on RLHF
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The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
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On the Evaluation Metrics for Paraphrase Generation
Quantitative finance
Service
Reviewer
- ICLR2024–2026
- NeurIPS2023–2026
- ICML2023–2026
- ACL2023
- AAAI2022–2024
- EMNLP2022–2023
- ACL Rolling Review2022–2023
Outside Work
Away from work, I am a devoted Formula 1 fan and support the Mercedes-AMG Petronas F1 Team. I also follow the NBA (I used to be a big Houston Rockets fan) and enjoy karting with friends and video games.